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All issues Volume 81 (2026) ITM Web Conf., 81 (2026) 01001 References
Open Access
Issue
ITM Web Conf.
Volume 81, 2026
International Conference on Emerging Technologies for Multidisciplinary Innovation and Sustainability (ETMIS 2025)
Article Number 01001
Number of page(s) 13
DOI https://doi.org/10.1051/itmconf/20268101001
Published online 23 January 2026
  1. Van Esch, P., & Black, J. S. (2021). Artificial Intelligence (AI): Revolutionizing Digital Marketing. Australasian Marketing Journal (AMJ), 29(3), 199–203. https://doi.org/10.1177/18393349211037684 [Google Scholar]
  2. Haenlein, M., & Kaplan, A. (2019). A Brief History of Artificial Intelligence: On the Past, Present, and Future of Artificial Intelligence. California Management Review, 61(4), 5–14. https://doi.org/10.1177/0008125619864925 [CrossRef] [Google Scholar]
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  4. Gowri, D.P. (2024). Impact of AI in Personalized Digital Marketing: Boosting Customer Engagement through Tailored Content. Journal of Communication and Management, 3(3), 216–221. DOI: 10.58966/JCM2024334 [Google Scholar]
  5. Tadimarri, A., Jangoan, S., Sharma, K. K., & Gurusamy, A. (2024). AI-Powered Marketing: Transforming Consumer Engagement and Brand Growth. International Journal for Multidisciplinary Research, 6(2). https://doi.org/10.36948/ijfmr.2024.v06i02.14595 [Google Scholar]
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  7. Gupta, Y., & Khan, F. M. (2024). Role of artificial intelligence in customer engagement: a systematic review and future research directions. Journal of Modelling in Management. https://doi.org/10.1108/jm2-01-2023-0016 [Google Scholar]
  8. Rafieian, O., & Yoganarasimhan, H. (2023). AI and Personalization. In Review of marketing research (pp. 77–102). https://doi.org/10.1108/s1548-643520230000020004 [Google Scholar]
  9. Haleem, A., Javaid, M., Qadri, M. A., Singh, R. P., & Suman, R. (2022). Artificial intelligence (AI) applications for marketing: A literature-based study. International Journal of Intelligent Networks, 3. [Google Scholar]
  10. Verma, S., Sharma, R., Deb, S., & Maitra, D. (2021). Artificial intelligence in marketing: Systematic review and future research direction. International Journal of Information Management Data Insights, 1(1), 100002. https://doi.org/10.1016/j.jjimei.2020.100002 [Google Scholar]
  11. Pesovski, I., Santos, R., Henriques, R., & Trajkovik, V (2024). Generative AI for Customizable Learning Experiences. Sustainability, 16(7), 3034. https://doi.org/10.3390/su16073034 [Google Scholar]
  12. Okazaki, S., Eisend, M., Plangger, K., De Ruyter, K., & Grewal, D. (2020). Understanding the Strategic Consequences of Customer Privacy Concerns: A Meta-Analytic Review. Journal of Retailing, 96(4), 458–473. https://doi.org/10.1016Zj.jretai.2020.05.007 [Google Scholar]
  13. Raji, Mustafa & Olodo, Hameedat & Oke, Timothy & Addy, Wilhelmina & Ofodile, Onyeka & Oyewole, Adedoyin. (2024). E-commerce and consumer behavior: A review of AI-powered personalization and market trends. GSC Advanced Research and Reviews. 18. 066–077. 10.30574/gscarr.2024.18.3.0090. [Google Scholar]
  14. Roslan, F.A.B.M. and Ahmad, N.B., 2023. The Rise of AI-Powered Voice Assistants: Analyzing Their Transformative Impact on Modern Customer Service Paradigms and Consumer Expectations. Quarterly Journal of Emerging Technologies and Innovations, 8(3), pp. 33–64. [Google Scholar]
  15. Wei, L. and Xia, Z., 2022. Big Data-Driven Personalization in E-Commerce: Algorithms, Privacy Concerns, and Consumer Behavior Implications. International Journal of Applied Machine Learning and Computational Intelligence, 12(4). [Google Scholar]

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